Search Results for author: Yiyan Qi

Found 5 papers, 0 papers with code

ChartBench: A Benchmark for Complex Visual Reasoning in Charts

no code implementations26 Dec 2023 Zhengzhuo Xu, Sinan Du, Yiyan Qi, Chengjin Xu, Chun Yuan, Jian Guo

Multimodal Large Language Models (MLLMs) demonstrate impressive image understanding and generating capabilities.

Visual Reasoning

Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey

no code implementations27 Oct 2023 Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang

This survey presents a comprehensive overview of natural language interfaces for tabular data querying and visualization, which allow users to interact with data using natural language queries.

Data Interaction Data Visualization +3

Fast Gumbel-Max Sketch and its Applications

no code implementations10 Feb 2023 Yuanming Zhang, Pinghui Wang, Yiyan Qi, Kuankuan Cheng, Junzhou Zhao, Guangjian Tian, Xiaohong Guan

The well-known Gumbel-Max Trick for sampling elements from a categorical distribution (or more generally a non-negative vector) and its variants have been widely used in areas such as machine learning and information retrieval.

Information Retrieval Retrieval

Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems

no code implementations9 Aug 2022 Qihua Zhang, Junning Liu, Yuzhuo Dai, Yiyan Qi, Yifan Yuan, Kunlun Zheng, Fan Huang, Xianfeng Tan

The mainstream RS ranking framework is composed of two parts: a Multi-Task Learning model (MTL) that predicts various user feedback, i. e., clicks, likes, sharings, and a Multi-Task Fusion model (MTF) that combines the multi-task outputs into one final ranking score with respect to user satisfaction.

Multi-Task Learning Recommendation Systems +1

Fast Generating A Large Number of Gumbel-Max Variables

no code implementations2 Feb 2020 Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan

Instead of computing $k$ independent Gumbel random variables directly, we find that there exists a technique to generate these variables in descending order.

Graph Embedding Information Retrieval +1

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